Anchorman takes a list of terms and a text. It finds the terms in this text and replaces them with another representation.
Project description
# Welcome to Anchorman
Turn your text into [hypertext](http://en.wikipedia.org/wiki/Hypertext) and enrich the content. Anchorman finds terms in text and replaces them with another representation.
The replacement is rule-based. Each term is checked against the rules and will be applied if valid.
# How many items will be marked at all in the text. replaces_at_all: 5
# Input term has to be exact match in text. case_sensitive: true
## Features
replacement rules
consider text units in the rules (e.g. paragraphs)
replace only n items of the same item
specify restricted_areas for linking by tag: a, img
sort elements by value before apply them
return applied elements
## Usage
>>> from anchorman import annotate
>>> text = 'The quick brown fox jumps over the lazy dog.'
>>> elements = [{'fox': {'value': '/wiki/fox', 'data-type': 'animal'}}]
>>> print annotate(text, elements)
'The quick brown <a href="/wiki/fox" data-type="animal">fox</a> jumps over the lazy dog.'
## Installation
To install Anchorman, simply:
pip install anchorman
## Credits and contributions
We published this at github and pypi to provide our solution to you. Pleased for feedback and contributions.
Thanks [@tarnacious](https://github.com/tarnacious) for inspiration and first steps.
## Todo
check if position exist in input and save extra processing
html.parser vs lxml in bs4 - benchmarks and drawbacks
<img src=”https://raw.githubusercontent.com/rebeling/anchorman/master/docs/anchorman.png” width=”200”>
Stay tuned.
